Error: not found: Winter_2013, Winter_2014, sondregger_regression_2023, baayen_2008, jaeger_2008, barr_2013, matschucek_2017
Course overview
Regression for Linguists
Moodle
Moodle: “Regression for Linguists”
Schlüssel: reg4ling
Moodle
- lecture materials
Kursübersicht
- Leistungspunkte
- 3LP
- 1LP:
- 1LP:
- 1LP:
- 3LP
- Office hours: Wednesdays, 15.00-16.00 (by appointment)
Course aims
By the end of this course, you will
- blah blah
What will you learn?
- linear regression
- multiple regression
- logistic regression
- mixed models
- using the
lme4package - how to apply these models appropriately to a variety of data types
What will you not learn?
Resources
This course is mainly based on (winter_statistics_2019?), which is an excellent introduction into regression for linguists. For even more introductory tutorials, I recommend going through (Winter_2013?) and (Winter_2014?). For a more intermediate textbook, I’d recommend (sondregger_regression_2023?).
If you’re interested in the foundational writings on the topic of linear mixed models in (psycho)linguistic research, I’d recommend reading (baayen_2008?); (jaeger_2008?); (barr_2013?); (matschucek_2017?).
Assumptions about you
For this course, I assume that you are familiar with more classical statistical tests, such as the t-test, Chi-square test, etc. I also assume you are familiar with measures of central tendency (mean, median, mode) measures dispersion/spread (standard deviation), and with the concept of a normal distribution. Lacking this knowledge will not impeded your progress in the course, but is an important foundation on which we’ll be building. We can review these concepts in-class as needed.
Software
R: a statistical programming language (the underlying language)
RStudio: an program that facilitates working with R; our preferred IDE integrated development environment
LaTeX: a typesetting system that generates documents in PDF format
why R?
- R and RStudio are open-source and free software
- they are widely used in science and business
Install R
- we need the free and open source statistical software R to analyze our data
- download and install R: https://www.r-project.org
Install RStudio
- we need RStudio to work with R more easily
- Download and install RStudio: https://rstudio.com
- it can be helpful to keep English as language in RStudio
- we will find more helpful information if we search error messages in English on the internet
- If you have problems installing R or RStudio, check out this help page (in German): http://methods-berlin.com/wp-content/uploads/Installation.html
Install LaTeX
- we will not work with LaTeX directly, but it is needed in the background
- Download and install LaTeX: https://www.latex-project.org/get/
resources
- many aspects of this course are inspired by (nordmann_applied_2022?) and (wickham_r_nodate?)
- both freely available online (in English)
- for German-language resources, visit the website of Methodengruppe Berlin
Troubleshooting (EN: Troubleshooting)
- Error messages are very common in programming, at all levels.
- How to find solutions for these error messages is an art in itself
- Google is your friend! If possible, google in English to get more information